Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification

5 May 2013 Ji Won Yoon Nial Friel

Probabilistic k-nearest neighbour (PKNN) classification has been introduced to improve the performance of original k-nearest neighbour (KNN) classification algorithm by explicitly modelling uncertainty in the classification of each feature vector. However, an issue common to both KNN and PKNN is to select the optimal number of neighbours, $k$... (read more)

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